66degrees | Jobs | VP , Data Science and Data Engineers | BigDataKB.com | 31-03-22

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Job Location: Remote

We are seeking a VP of Data Science and Engineering. 66degrees is looking for a passionate leader who is driven to play a central role delivering robust data solutions for our clients on Google Cloud Platform (GCP). You will be responsible for growing and managing a team of data architects, data engineers and data scientists. The ideal candidate will have a broad background in Big Data, data warehouse modernization, analytics, data science, and machine learning.

Responsibilities

Our ideal candidate will understand the value of teamwork and love living in the in between of project delivery and managing high trust client relationships. We are looking for the right fit with our rapidly growing organization and will invest in training.

We are based in Chicago, Illinois and Denver, Colorado. Remote candidates should not hesitate applying.

A 66degrees VP of Data Science and Engineering responsibilities and duties are as follows:

  • Interfaces with the Executive Leadership Team and other senior leadership to identify innovative technology solutions that provide a competitive advantage for 66degrees and ensure the company meets its corporate objectives.
  • Offering continuity, and development in data privacy security, data ingestion processing, data storage compute, analytical operational consumption, data modeling, data virtualization, and data preparation analytics.
  • Drives strategy, and practice direction as part of the GCP leadership team, performing strategic planning, offering development, enterprise solutions architecture.
  • Comfortable working with customer executives to align business outcomes with technical vision and goals.
  • Guide the day-to-day activities of a geographically distributed team, including hiring world class talent, reviewing work and setting goals.
  • Develop and codify best practices for your team that can be replicated across multiple customer engagements.
  • Partner with your team to develop services and offerings that scale and are repeatable.
  • Establishes business continuity, succession and career development plans for the Data team and ensures a constantly improving, high-performance, high-output data organization.
  • Participate in key technical and design discussions with technical leads as a hands-on manager.
  • Partner with other practice leads, architects, delivery managers, executives and sales personnel to develop statements of work, and then oversee execution by your team with high levels of agility and quality.
  • Engage with the marketing team to serve as an SME to create content, serve as a market leader via speaking engagements, and participate in webinars.
  • This position is remote and travel will be required, not to exceed 50%, depending on business needs when normal travel practices resume.
  • Collaborates with senior delivery leadership to create highly-functioning processes and build a high-output, high-performing, business-savvy, customer-centric Data Engineering organization that is continually improving its efficiency, effectiveness and value to the business.

Qualifications

  • 12+ years in Data and/or Services Engineering, with 5+ years leading teams
  • Deep public cloud experience (GCP preferred) is a must
  • Expert in leading teams that implement both streaming and batch data transport technologies
  • Deep expertise in Cloud Data Warehouse technology and/or managing an enterprise data lake
  • Ability to simplify complex technical concepts into easily understood business language to facilitate, communicate, and engage with executives and business stakeholders.
  • Exhibits superior analytical, evaluative, and problem-solving abilities
  • Very comfortable with ambiguity and enjoys creating structure out of chaos
  • Experience with Agile/Scrum development methodology
  • Strong SQL, Database, Data Modeling, Data Warehousing, and Development skills
  • Strong programming / scripting experience using various languages Python, Scala, Javascript, .NET, Java
  • Experience with ETL tools Experience with Dashboarding and Reporting Tools (Looker, Tableau, etc)
  • Certifications in architecture, data engineering from GC P

Apply Here

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